Literature DB >> 9544725

Lipid levels and peripheral vascular disease in diabetic and non-diabetic subjects.

D N O'Neal1, J Lewicki, M Z Ansari, P G Matthews, J D Best.   

Abstract

Non-insulin dependent diabetes (NIDDM) is associated with an increased risk of peripheral vascular disease (PVD), but within the diabetic population the relationship between lipid profile and PVD has not been clearly defined. In this study we examined the association of lipid parameters and in particular low density lipoprotein (LDL) particle size, with the presence of PVD in subjects with and without NIDDM. 41 NIDDM patients and 31 non-diabetic subjects with PVD in the absence of rest pain or ulceration, defined by ankle-brachial index measurements and duplex scanning, were compared with 41 NIDDM and 31 euglycemic control subjects of comparable age and sex, without PVD. In both groups those with PVD were found to have significantly elevated triglycerides (2.7 [2.2-3.3] versus 1.9 [1.6-2.2] mmol/l; P < 0.05 in the diabetic group and 2.0 [1.6-2.3] versus 1.4 [1.1-1.5] mmol/l; P < 0.05 in the non-diabetic group), decreased apolipoprotein A1 (124 +/- 3 versus 139 +/- 5 mg/dl; P < 0.01 in the diabetic group and 133 +/- 4 versus 147 +/- 4 mg/dl; P < 0.05 in the non-diabetic group) and decreased LDL particle size (25.4 +/- 0.1 versus 25.8 +/- 0.1 nm; P < 0.01 in the diabetic group and 26.0 +/- 0.1 versus 26.3 +/- 0.1 nm; P < 0.05 in the non diabetic group). In the non-diabetic group apolipoprotein[a] (365 [239-554] versus 184 [17-266] U/l; P < 0.01), total cholesterol (6.3 +/- 0.2 versus 5.6 +/- 0.2 mmol/l; P < 0.05), LDL cholesterol (4.1 +/- 0.2 versus 3.6 +/- 0.2 mmol/l; P < 0.05) and apolipoprotein B (146 +/- 8 versus 117 +/- 5 mg/dl; P < 0.05) were also found to be associated with PVD although these associations were not observed in the group with diabetes. In addition, 11 NIDDM subjects and 11 non-diabetic subjects with rest pain or ulceration were compared to the corresponding groups with uncomplicated PVD and had lipid profiles with significantly lower levels of total cholesterol and LDL cholesterol. We conclude that the dyslipidemic profile characterized by increased triglyceride level, decreased apolipoprotein A1 level and small dense LDL is associated with uncomplicated PVD in both NIDDM and non-diabetic subjects.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9544725     DOI: 10.1016/s0021-9150(97)00175-5

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  6 in total

1.  Lipoprotein(a), inflammation, and peripheral arterial disease in a community-based sample of older men and women (the InCHIANTI study).

Authors:  Stefano Volpato; Giovanni B Vigna; Mary M McDermott; Margherita Cavalieri; Cinzia Maraldi; Fulvio Lauretani; Stefania Bandinelli; Giovanni Zuliani; Jack M Guralnik; Renato Fellin; Luigi Ferrucci
Journal:  Am J Cardiol       Date:  2010-04-27       Impact factor: 2.778

Review 2.  Peripheral arterial disease, type 2 diabetes and postprandial lipidaemia: Is there a link?

Authors:  Pedro Valdivielso; José Ramírez-Bollero; Carmen Pérez-López
Journal:  World J Diabetes       Date:  2014-10-15

3.  Lipoprotein Particle Profiles, Standard Lipids, and Peripheral Artery Disease Incidence.

Authors:  Aaron W Aday; Patrick R Lawler; Nancy R Cook; Paul M Ridker; Samia Mora; Aruna D Pradhan
Journal:  Circulation       Date:  2018-11-20       Impact factor: 29.690

Review 4.  Diabetic dyslipidaemia: current treatment recommendations.

Authors:  J D Best; D N O'Neal
Journal:  Drugs       Date:  2000-05       Impact factor: 9.546

5.  Low-density-lipoprotein particle size predicts a poor outcome in patients with atherothrombotic stroke.

Authors:  Tae-Jin Song; Hyun-Ji Cho; Yoonkyung Chang; Minjung Youn; Min-Jeong Shin; Inho Jo; Ji Hoe Heo; Yong-Jae Kim
Journal:  J Clin Neurol       Date:  2015-01-02       Impact factor: 3.077

6.  Factors associated with diabetic polyneuropathy-related sensory symptoms and signs in patients with polyneuropathy: A cross-sectional Japanese study (JDDM 52) using a non-linear model.

Authors:  Hiroki Yokoyama; Toshinaga Tsuji; Shinji Hayashi; Daijiro Kabata; Ayumi Shintani
Journal:  J Diabetes Investig       Date:  2019-08-06       Impact factor: 4.232

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.